Chinese Monolingual Sentiment Classifier for Social Media Data Using Corpus-Based Approach
Sentiment analysis, sometimes known as opinion mining, is a technique or process for finding and obtaining information on a certain topic, such as opinions and attitudes, from both written and spoken language. Most of the netizens in Malaysia have unique dialects or slang and commonly use abbreviati...
Published in: | 2024 5th International Conference on Artificial Intelligence and Data Sciences, AiDAS 2024 - Proceedings |
---|---|
Main Author: | Sia Abdullah N.A.; Low Cheng Cheng S.C.; Rosli M.M. |
Format: | Conference paper |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2024
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209641239&doi=10.1109%2fAiDAS63860.2024.10730147&partnerID=40&md5=c9635986bd3ad579211ae17ce2106921 |
Similar Items
-
Construction of Malay abbreviation corpus based on social media data
by: Omar N.; Hamsani A.F.; Abdullah N.A.S.; Abidin S.Z.Z.
Published: (2017) -
MyDAS Corpus: Malay Social Media Texts for Detecting Depression, Anxiety, and Stress on Facebook
by: Ahmad Z.; Mohamed A.; Conway M.; Zakaria R.; Teo N.H.I.; Maskat R.
Published: (2024) -
Discursive Strategies of China-Related News in Chinese and Western Social Media
by: Zhang X.; Ibrahim N.A.; Saidalvi A.
Published: (2023) -
Leveraging social media data using latent dirichlet allocation and naïve bayes for mental health sentiment analytics on Covid-19 pandemic
by: Khalid N.; Abdul-Rahman S.; Wibowo W.; Abdullah N.A.S.; Mutalib S.
Published: (2023) -
Social Media Text Analysis on Public’s Sentiments of Covid-19 Booster Vaccines
by: Kristian Y.; Yesenia A.V.; Safina S.; Pravitasari A.A.; Sari E.N.; Herawan T.
Published: (2023)